Application of Neural Networks on Traffic Control

Digital computer parallel processing and the learning ability of neural networks techniques are widely used in solving engineering problems. In lift traffic control, neural networks can be used to distribute the most suitable cars to answer calls in the building. In this paper neural networks are used in a Duplex/Triplex traffic control for improving passenger waiting time. Lift traffic analysis and simulation results were obtained by running computer software programs for different building types and parameters and then compared to other control algorithms.